Chaos representation provides a rational extension of deterministic approximation procedures. These representations are equally suited for characterizing properties (through stochastic inverse analysis) as they are for predictions. These procedures are generally much more efficient than MCS. A unifying procedure is available for mechanics and data representations.
展开▼